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Data Infrastructure for Scientific AI: Moving, Storing and Serving Data at Scale
Examine how data engineering challenges are changing as AI, simulation and multimodal workflows place greater demands on scientific infrastructure.
Explore how organizations are managing storage tiers, data locality, throughput and access across large-scale research and development environments.
Assess what robust data infrastructure looks like when compute-intensive workflows depend on fast, governed and reproducible access to scientific data.
